Comparison of 18F‐florbetaben quantification results using the standard Centiloid, MR‐based, and MR‐less CapAIBL® approaches: Validation against histopathology

201999 citationsJournal Article

Authors

Vincent Doré · CSIRO Health and Biosecurity

Santiago Bullich

Christopher C. Rowe · University of Melbourne

Pierrick Bourgeat · CSIRO Health and Biosecurity

Salamata Konate · CSIRO Health and Biosecurity

Osama Sabri · Leipzig University

Andrew Stephens

Henryk Barthel

Abstract

Quantification of 18F-florbetaben positron emission tomography scans using magnetic resonance-based and magnetic resonance-less CapAIBL® approaches showed high agreement, establishing a pathology-based threshold in CL.

Topics & Keywords

Radiomics and Machine Learning in Medical Imaging Medical Imaging Techniques and Applications Glioma Diagnosis and Treatment

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Alzheimer s & Dementia

Volume 15, Issue 6, pp. 807-816

DOI: 10.1016/j.jalz.2019.02.005

Field-Weighted Citation Impact: 10.76

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Comparison of <sup>18</sup>F‐florbetaben quantification results using the standard Centiloid, MR‐based, and MR‐less CapAIBL<sup>®</sup> approaches: Validation against histopathology

Authors

Abstract

Topics & Keywords

UN Sustainable Development Goals

Publication Details